Table 2. Statistical comparison of model performance.
| Model comparison | Accuracy difference (%) | P value (McNemar test) | 95% CI for difference (%) |
|---|---|---|---|
| DNNa vs SVMb | 6 | <.001 | 3.8‐8.2 |
| DNN vs RFc | 4 | .003 | 1.4‐6.6 |
| DNN vs GBMd | 2 | .04 | 0.1‐3.9 |
| GBM vs RF | 2 | .048 | 0.02‐4 |
| GBM vs SVM | 4 | .002 | 1.5‐6.5 |
| RF vs SVM | 2 | .04 | 0.1‐3.9 |
DNN: deep neural network.
SVM: support vector machine.
RF: random forest.
GBM: gradient boosting machine.